8,001 responses from 289 respondents to 28 items.
| Description | Psychometric properties of the Slovenian versions of DES-LF and S-DES-SF in adults with T2D measurements |
|---|---|
| Reference | Virtič Potočnik, Tina, 2024, "Psychometric Properties of the Slovenian Version of the Diabetes Empowerment Scale", https://doi.org/10.7910/DVN/LMFS1V, Harvard Dataverse, V1 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/file.xhtml?fileId=10569945&version=1.0 |
| Responses | 8,001 |
|---|---|
| Respondents | 289 |
| Items | 28 |
| Response categories | 5 |
| Responses per respondent | 27.685 |
| Responses per item | 285.750 |
| Density | 0.989 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | slo |
| construct name | Slovenian versions of DES-LF (S-DES-LF) and S-DES-SF...Diabetes Empowerment Scale |
cov_agecov_bmicov_bmiktgcov_educationcov_education_dihcov_employmentcov_gendercov_hba1ccov_heightcov_postal_codecov_present_ahcov_residencecov_surroundings_vs_otherscov_therapy_insulincov_therapy_oralcov_weightiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("potocnik_2024_diabetes")
# Python
pip install irw
import irw
df = irw.fetch("potocnik_2024_diabetes")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |